Evaluation system for transient stability of large-scale power system based on optimal mutual information redundancy

Abstract

The invention discloses an evaluation system for transient stability of a large-scale power system based on optimal mutual information redundancy. The system firstly obtains a power system large dataset that can approximately represent all operating characteristics of a current power system based on PMU data or software simulation; on the basis, an optimal characteristic set with maximum correlation and minimum redundancy with transient stability margin of the system is constructed through multi-time utilization of an information redundancy optimization algorithm; a function expression of a relationship between a selected variable and TSM is constructed by utilizing MATLAB; and the TSM can be directly estimated by an expression through real-time variable data obtained by the power system,after appropriate compensation is performed on a result, the result is fed back to on-site scheduling personnel in order to make timely decisions. The system can solve the shortcomings that traditional evaluation methods are poor in precision, are slow in speed, are poor in robustness of data loss, are poor in evaluation analyticity, and the like, and effectively meets real-time evaluation requirements of large-scale power systems.

Description

technical field [0001] The invention relates to the technical field of large-scale power system operation control, in particular to a large-scale power system transient stability evaluation system based on mutual information redundancy optimization. Background technique [0002] In recent years, with the continuous expansion of the power grid scale and the increasingly complex topology, a small disturbance may cause cascading failures and cause corner instability. The transient stability problem has become an important factor that threatens the stable operation of the power grid. Perceiving the stable operating state of the current power angle of the system, evaluating the transient stability margin of the system, and reminding dispatchers to take necessary preventive measures at the weak points of the temporary stability margin can greatly improve the system's ability to resist fault disturbances. Therefore, it is of great significance to the safe and reliable operation of ...

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Problems solved by technology

[0005] In order to solve the above problems, the present invention provides a large-scale power system transient stability evaluation system based on mutual information redundancy optimization, which is a real-time evaluation system for transient stability margins for large-scale interconnected power systems; It can solve the shortcomings of traditional evaluation methods such as poor accuracy, slow speed, poor robustness to data loss, and poor evaluation resolution, effectively meeting the real-time evaluation needs of large-scale power systems

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